Staff Cloud FinOps Engineer
Core
Drive cloud profitability, tenant-level usage accountability, and intelligent cost optimization for modern AI-powered platforms across Azure, AWS, and GCP.
Role type
Staff Cloud FinOps Engineer
Builds
Cloud financial forecasting models, executive dashboards, tenant-level metering systems, and automated governance scripts.
Domain
Multi-cloud infrastructure (Azure, AWS, GCP) and Generative AI platform economics
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Cloud architecture, Kubernetes workload optimization, FinOps governance, Data engineering, Financial analytics, Enterprise budgeting, Python scripting, Infrastructure as Code (Terraform), SQL, Cost anomaly detection, Kubernetes rightsizing, AI token consumption optimization, Tenant-level chargeback design, Data pipeline optimization
Preferred skills
FinOps Certified Practitioner, Azure OpenAI Service, Vector DBs, RAG, GPU optimization, Databricks, BigQuery
Technologies
Azure, AWS, GCP, Kubernetes, Kubecost, OpenCost, Prometheus, Grafana, AKS, EKS, GKE, Karpenter, Cluster Autoscaler, Terraform, Ansible, Power BI, Tableau
Responsibilities
Conduct architectural reviews of high-spend services; Build cloud financial forecasting models; Lead Kubernetes FinOps initiatives for enterprise-scale clusters; Optimize GenAI and Azure OpenAI cost parameters; Design tenant-level metering systems for API usage and GPU consumption; Architect scalable and cost-optimized data pipelines.
Seniority
Staff, hands-on IC with strategic advisory